Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach-Reference-Cited by-同舟云学术

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Robust Online Multiuser Detection: A Hybrid Model-Data Driven Approach

Published:2023 Issue: Volume:71 Page:2103-2117
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Awan Daniyal Amir¹^ORCID,Cavalcante Renato Luís Garrido²^ORCID,Yukawa Masahiro³^ORCID,Stanczak Slawomir¹^ORCID

Affiliation:

1. Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut HHI, Berlin, Germany

2. Wireless Communications and Networks, Fraunhofer-Institut für Nachrichtentechnik Heinrich-Hertz-Institut HHI, Berlin, Germany

3. Electronics and Electrical Engineering, Keio University, Yokohama, Japan

Funder

Federal Ministry of Education and Research of Germany

Souverän. Digital. Vernetzt

JSPS

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/10040758/10143683.pdf?arnumber=10143683

Reference48 articles.

1. Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency

2. On the Relationship between Generalization Error, Hypothesis Complexity, and Sample Complexity for Radial Basis Functions

3. Adaptive Constrained Learning in Reproducing Kernel Hilbert Spaces: The Robust Beamforming Case

4. Approximation beats concentration? An approximation view on inference with smooth radial kernels;belkin;Proc 31st Conf Learn Theory,0

5. Random Fourier Feature-Based Deep Learning for Wireless Communications

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